沥青胶结料自愈合研究进展

沥青自愈合是提高沥青路面使用寿命的有效手段之一,文章综合分析了近年来国内外沥青胶结料自愈合机理、实验方法、评价指标和自愈合技术等方面的研究,并指出现有机理模型难以解释温度、间歇时间和老化对沥青胶结料自愈合行为的影响,缺少科学有效的自愈合行为评价方法与指标,使得自愈合技术难以在工程中推广应用。建议综合现有自愈合机理宏微观模型理论,建立多尺度模型解释沥青胶结料的自愈合行为,提出具有普适性的实验方法和评价沥青胶结料自愈合行为的指标,并指出开发新型沥青自愈合增强剂是未来研究的热点。     

纳米微球在生物医药领域的应用

纳米微球技术是近年来在生物技术应用中最为热门的前沿技术之一。各种微球产品的应用给生物技术研究带来了新的课题,形成了众多新的研究领域。从生物技术的发展现状和未来方向出发,对纳米微球在生物医药研究中几个重要领域的应用前案进行了综述。     

基于累积平方误差–总平方波动指标的模型预测控制器性能评价及自愈

本文针对模型预测控制器实际投运中遇到性能下降问题,提出了一种基于累积平方误差(ISE)–总平方波动(TSV)指标的模型预测控制器性能评价及自愈方法.先基于累积平方误差(ISE)和总平方波动(TSV)指标对模型预测控制器进行实时性能评价,再根据无限时域模型预测控制器(MPC)的逆特性,基于ISE–TSV指标的分析,提出了...     

PVA纤维及尾矿砂掺量对GTCC自愈合性能影响

针对最新开发的绿色韧性水泥基材料的自愈合性能,参考国内外水泥基复合材料的自愈合理论与试验研究,采用强度恢复法对经过预制裂纹处理、自愈合养护至不同龄期的试件进行抗压强度试验并计算其强度恢复率.分析不同纤维体积掺量及尾矿砂替代天然砂比率对该水泥基复合材料自愈合性能的影响规律.结果表明,利用尾矿砂部分替代细骨料可以提高GTCC的自愈合性能.在不影响GTCC抗压强度的前提下,合理使用PVA纤维可以提高材料的自愈合能力.     

Ad Hoc网络中的新型分布式证书撤销方案

分析Ad Hoc网络中一些证书撤销方案的优缺点,提出一种新的分布式证书撤销方案,节点证书的有效性由节点的权值控制,使用单向哈希链认证控诉消息,利用自恢复区域方法广播控诉消息。不依赖于任何集中式或外部节点即可有效地撤销恶意节点的证书、防止合法节点证书的误撤销。定量分析了方案的可靠性。     

时间同步网的可生存性增强

研究大规模时间同步网的可生存性问题．时间同步网通过各节点的自主配置,拓扑结构不再是静态的、层次型的,而成为动态的网络结构,增强网络的可生存性．提出搜索世界的概念,针对时间同步网络建立了基于搜索世界的BA模型,并对模型进行优化,使时间同步网络的可生存性更高．动态的网络拓扑在部分节点失效以后受影响的节点能够自愈,给出了节点自愈算法,使节点自愈时对网络负载的影响比较小．     

移动机器人编队自修复的切换拓扑控制

针对机器人缺失后的移动机器人编队自修复问题, 构建了结合切换拓扑和交互动力模型的移动机器人编队模型, 通过分析机器人缺失后的拓扑变化情况, 提出了网络切换拓扑控制, 该算法利用递归实现自修复, 并且是收敛的. 通过设计相应的分布式算法, 本文将拓扑控制转化为基于局部交互的递归自修复个体控制, 证明了编队自修复个体控制的稳定性. 最后针对编队任务, 通过仿真验证了切换拓扑控制的有效性, 和其他方法比较具有低恢复时间和低功率消耗的优点.     

碳点在金属腐蚀防护领域的研究进展

综述了碳点的合成路径、改性方法及其在腐蚀防护领域的应用,重点阐述了碳点作为缓蚀剂及其在自修复、自预警等智能防腐涂层方向应用的国内外最新研究进展。首先,分析和探讨了杂原子掺杂型、有机分子修饰型以及生物质衍生型碳点缓蚀剂的缓蚀机理、优势及不足。其次,介绍了基于碳点的本征和外援自修复涂层、腐蚀预警涂层的设计思路及自修复、自预警机制。最后,提出了碳点在缓蚀剂和智能防腐涂层中应用所存在的问题,并对其未来发展前景进行了讨论。未来应秉持绿色、高效理念,进一步优化碳点的制备工艺,深入研究其在缓蚀、涂层自修复及腐蚀预警中的关键作用,以期早日实现工业应用。     

AI-Driven Wearable Mask-Inspired Self-Healing Sensor Array for Detection and Identification of Volatile Organic Compounds

Volatile organic compounds (VOCs) sensor arrays have garnered considerable attention due to their potential to provide real-time information for monitoring pollution levels and personal health associated concerning VOCs in the ambient environment. Here, an AI-driven wearable mask-inspired self-healing sensor array (MISSA), created using a simplified single-step stacking technique for detecting and identifying VOCs is presented. This wearable MISSA comprises three vertically placed breathable self-healing gas sensors (BSGS) with linear response behavior, consistent repeatability, and reliable self-healing abilities. For wearable and portable monitoring, the MISSA is combined with a flexible printed circuit board (FPCB) to produce a mobile-compatible wireless system. Due to the distinct layers of MISSA, it creates exclusive code bars for four distinct VOCs over three concentration levels. This grants precise gas identification and concentration prognoses with excellent accuracy of 99.77% and 98.3%, respectively. The combination of MISSA with artificial intelligence (AI) suggests its potential as a successful wearable device for long-term daily VOC monitoring and assessment for personal health monitoring scenarios.     

Improving the Corrosion Protection of Poly(phenylene methylene) Coatings by Side Chain Engineering: The Case of Methoxy-Substituted Copolymers

This work aims to improve the corrosion protection features of poly(phenylene methylene) (PPM) by sidechain engineering inserting methoxy units along the polymer backbone. The influence of side methoxy groups at different concentrations (4.6% mol/mol and 9% mol/mol) on the final polymer properties was investigated by structural and thermal characterization of the resulting copolymers: co-PPM 4.6% and co-PPM 9%, respectively. Then, coatings were processed by hot pressing the polymers powder on aluminum alloy AA2024 and corrosion protection properties were evaluated exposing samples to a 3.5% w/v NaCl aqueous solution. Anodic polarization tests evidenced the enhanced corrosion protection ability (i.e., lower current density) by increasing the percentage of the co-monomer. Coatings made with co-PPM 9% showed the best protection performance with respect to both PPM blend and PPM co-polymers reported so far. Electrochemical response of aluminum alloy coated with co-PPM 9% was monitored over time under two “artificially-aged” conditions, that are: (i) a pristine coating subjected to potentiostatic anodic polarization cycles, and (ii) an artificially damaged coating at resting condition. The first scenario points to accelerating the corrosion process, the second one models damage of the coating potentially occurring either due to natural deterioration or due to any accidental scratching of the polymer layer. In both cases, an intrinsic self-healing phenomenon was indirectly argued by the time evolution of the impedance and of the current density of the coated systems. The degree of restoring to the “factory conditions” by co-polymer coatings after self-healing events is eventually discussed.